The verified answer
As of Sep 2026, DEPLOY verifies UT Austin Robot Perception and Learning Lab: 1 model. 1 source back the record.
Overview
The UT Austin Robot Perception and Learning Lab (RPL) conducts research in robot learning, visual perception, and manipulation. Led by Professor Yuke Zhu, RPL works on foundation models for robotics, sim-to-real transfer, and autonomous manipulation in unstructured environments.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
HQ
Status
Type
Focus
Leadership
Institution
Research areas
Data & sources
Web sources
1
1 source backing this record.View all →
Models (1)
View all models →Partnerships
Every company UT Austin Robot Perception and Learning Lab has built with, alongside the ones only announced in a press release.
UT Austin Robot Perception and Learning Lab on the deployment map
View the global mapUT Austin Robot Perception and Learning Lab has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for UT Austin Robot Perception and Learning Lab on the DEPLOY record yet. Track UT Austin Robot Perception and Learning Lab to know the moment the first one is verified.
Relationships
Current leadership (1)
- Yuke Zhu Professor, UT Austinsecondary-verified
Safety record
No incidents on record for UT Austin Robot Perception and Learning Lab.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Recent coverage
UT Austin Robot Perception and Learning Lab in third-party press
Financial state
- Reporting basis
- aggregator_estimate
- Lifecycle stage
- early
- Counterparty risk class
- unknown
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Partnerships
2 total · 2 operating
Every company UT Austin Robot Perception and Learning Lab has built with, alongside the ones only announced in a press release.
All 2 partnerships
open in the atlas →- ut-austin-rpl x nvidiawithNVIDIA1109technology—operating
- ut-austin-rpl x awswithAWS976technology—operating
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 9, 2026
Added to the verified registry
Sources (1)
Common questions
What is UT Austin Robot Perception and Learning Lab?
What does UT Austin Robot Perception and Learning Lab make?
Is UT Austin Robot Perception and Learning Lab publicly traded?
How can I invest in UT Austin Robot Perception and Learning Lab?
Where is UT Austin Robot Perception and Learning Lab headquartered?
Who owns UT Austin Robot Perception and Learning Lab?
Where does UT Austin Robot Perception and Learning Lab operate robots?
Is UT Austin Robot Perception and Learning Lab a top robotics company?
Is UT Austin Robot Perception and Learning Lab safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-09-06
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-09-06
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for UT Austin Robot Perception and Learning Lab.In the press
Recent coverage mentioning UT Austin Robot Perception and Learning Lab from third-party publications. Automatically surfaced; not part of the verified registry record.
Machine-readable surfaces
- Markdown mirror: /companies/ut-austin-rpl.md
- RSS feed: /companies/ut-austin-rpl/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/6177f860-196b-4caf-ba62-edf5fe3b1ca5
- Revision history: /companies/ut-austin-rpl/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Heat Index
Serious54/100
A composite of competitive footprint, funding, press velocity, active partnerships, and supply-chain edges. Different from the Intelligence score below (which is per-form-factor productization). Non-robotics companies cap at 25.
Reality vs attention
UT Austin Robot Perception and Learning Lab draws attention at the 51st percentile but verifies reality at the insufficient-data level among other robots.
6-month trend
Analysis
Limited public funding data for capital position assessment.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Sep 23, 2026